Pinned Repositories
ArtificialIntelligence.dev
Repo for AI study group
aulao_atuarias-R
aulas_dev-py
Material used in the FEA.dev python lectures
dlotter
economia-py
gt-final-datascience
Repositório para entrega do projeto final de Data Science do Grupo Turing.
gt-final-quant
Repositório com entrega do projeto de Quant do Grupo Turing
KNN-Workshop
Repository for the first Artificial Intelligence Workshop from FEA.dev. In this project we use the campus recruitment dataset from kaggle (Link in README).
monografia
petz
Esse repositório contém a resolução do case Petz feita usando o Databricks.
dlotter's Repositories
dlotter/gt-final-quant
Repositório com entrega do projeto de Quant do Grupo Turing
dlotter/ArtificialIntelligence.dev
Repo for AI study group
dlotter/aulao_atuarias-R
dlotter/aulas_dev-py
Material used in the FEA.dev python lectures
dlotter/dlotter
dlotter/economia-py
dlotter/gt-final-datascience
Repositório para entrega do projeto final de Data Science do Grupo Turing.
dlotter/KNN-Workshop
Repository for the first Artificial Intelligence Workshop from FEA.dev. In this project we use the campus recruitment dataset from kaggle (Link in README).
dlotter/monografia
dlotter/petz
Esse repositório contém a resolução do case Petz feita usando o Databricks.
dlotter/spotify-analysis
dlotter/titanic-py
The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.
dlotter/trex-algoritmos-geneticos
Repositório dedicado a armazenar projeto do algogen trex run